





import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / "utils"))

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


__A							   =							get_tests_dir("fixtures")



class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ):







 '''simple docstring'''

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple)			->Tuple:



   '''simple docstring'''



   lowerCamelCase__: str         =mock.Mock()
   lowerCamelCase__: Union[str, Any]         =500
   lowerCamelCase__: Optional[Any]         ={}
   lowerCamelCase__: Any         =HTTPError
   lowerCamelCase__: Union[str, Any]         ={}

   # Download this model to make sure it's in the cache.
   lowerCamelCase__: str         =ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
   # Under the mock environment we get a 500 error when trying to reach the model.
   with mock.patch("requests.Session.request"			,					return_value=UpperCAmelCase_) as mock_head:
     lowerCamelCase__: Dict         =ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
     # This check we did call the fake head request
     mock_head.assert_called()

 def 				SCREAMING_SNAKE_CASE_   (self							:  str)			->Any:



   '''simple docstring'''



   lowerCamelCase__: Optional[int]         =ViTImageProcessor.from_pretrained(
       "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json")







 def 				SCREAMING_SNAKE_CASE_   (self							:  Dict)			->str:



   '''simple docstring'''



   with self.assertRaises(UpperCAmelCase_):
     # config is in subfolder, the following should not work without specifying the subfolder
     lowerCamelCase__: int         =AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants")

   lowerCamelCase__: Any         =AutoImageProcessor.from_pretrained(
       "hf-internal-testing/stable-diffusion-all-variants"			,					subfolder="feature_extractor")

   self.assertIsNotNone(UpperCAmelCase_)



@is_staging_test
class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ):







 '''simple docstring'''

 @classmethod
 def 				SCREAMING_SNAKE_CASE_   (cls							:  Dict)			->List[Any]:



   '''simple docstring'''



   lowerCamelCase__: str         =TOKEN
   HfFolder.save_token(UpperCAmelCase_)

 @classmethod
 def 				SCREAMING_SNAKE_CASE_   (cls							:  Optional[Any])			->Optional[int]:



   '''simple docstring'''



   try:
     delete_repo(token=cls._token			,					repo_id="test-image-processor")
   except HTTPError:
     pass

   try:
     delete_repo(token=cls._token			,					repo_id="valid_org/test-image-processor-org")
   except HTTPError:
     pass

   try:
     delete_repo(token=cls._token			,					repo_id="test-dynamic-image-processor")
   except HTTPError:
     pass

 def 				SCREAMING_SNAKE_CASE_   (self							:  List[str])			->Dict:



   '''simple docstring'''



   lowerCamelCase__: Tuple         =ViTImageProcessor.from_pretrained(UpperCAmelCase_)
   image_processor.push_to_hub("test-image-processor"			,					use_auth_token=self._token)

   lowerCamelCase__: str         =ViTImageProcessor.from_pretrained(F"""{USER}/test-image-processor""")
   for k, v in image_processor.__dict__.items():
     self.assertEqual(UpperCAmelCase_			,					getattr(UpperCAmelCase_			,					UpperCAmelCase_))

   # Reset repo
   delete_repo(token=self._token			,					repo_id="test-image-processor")

   # Push to hub via save_pretrained
   with tempfile.TemporaryDirectory() as tmp_dir:
     image_processor.save_pretrained(
         UpperCAmelCase_			,					repo_id="test-image-processor"			,					push_to_hub=UpperCAmelCase_			,					use_auth_token=self._token)

   lowerCamelCase__: int         =ViTImageProcessor.from_pretrained(F"""{USER}/test-image-processor""")
   for k, v in image_processor.__dict__.items():
     self.assertEqual(UpperCAmelCase_			,					getattr(UpperCAmelCase_			,					UpperCAmelCase_))

 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[int])			->Tuple:



   '''simple docstring'''



   lowerCamelCase__: Any         =ViTImageProcessor.from_pretrained(UpperCAmelCase_)
   image_processor.push_to_hub("valid_org/test-image-processor"			,					use_auth_token=self._token)

   lowerCamelCase__: int         =ViTImageProcessor.from_pretrained("valid_org/test-image-processor")
   for k, v in image_processor.__dict__.items():
     self.assertEqual(UpperCAmelCase_			,					getattr(UpperCAmelCase_			,					UpperCAmelCase_))

   # Reset repo
   delete_repo(token=self._token			,					repo_id="valid_org/test-image-processor")

   # Push to hub via save_pretrained
   with tempfile.TemporaryDirectory() as tmp_dir:
     image_processor.save_pretrained(
         UpperCAmelCase_			,					repo_id="valid_org/test-image-processor-org"			,					push_to_hub=UpperCAmelCase_			,					use_auth_token=self._token)

   lowerCamelCase__: Tuple         =ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
   for k, v in image_processor.__dict__.items():
     self.assertEqual(UpperCAmelCase_			,					getattr(UpperCAmelCase_			,					UpperCAmelCase_))







 def 				SCREAMING_SNAKE_CASE_   (self							:  List[Any])			->List[Any]:



   '''simple docstring'''



   CustomImageProcessor.register_for_auto_class()
   lowerCamelCase__: Any         =CustomImageProcessor.from_pretrained(UpperCAmelCase_)

   image_processor.push_to_hub("test-dynamic-image-processor"			,					use_auth_token=self._token)

   # This has added the proper auto_map field to the config
   self.assertDictEqual(
       image_processor.auto_map			,					{"AutoImageProcessor": "custom_image_processing.CustomImageProcessor"}			,					)

   lowerCamelCase__: str         =AutoImageProcessor.from_pretrained(
       F"""{USER}/test-dynamic-image-processor"""			,					trust_remote_code=UpperCAmelCase_)
   # Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
   self.assertEqual(new_image_processor.__class__.__name__			,					"CustomImageProcessor")


_SCREAMING_SNAKE_CASE 		=      """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""





def 			lowercase(	)		->	None:







 '''simple docstring'''
 UpperCamelCase			  =      input("""Enter message: """       )
 UpperCamelCase			  =      input("""Enter key [alphanumeric]: """       )
 UpperCamelCase			  =      input("""Encrypt/Decrypt [e/d]: """       )

 if mode.lower().startswith("""e"""       ):
  UpperCamelCase			  =      """encrypt"""
  UpperCamelCase			  =      encrypt_message(UpperCamelCase_							,					UpperCamelCase_       )
 elif mode.lower().startswith("""d"""       ):
  UpperCamelCase			  =      """decrypt"""
  UpperCamelCase			  =      decrypt_message(UpperCamelCase_							,					UpperCamelCase_       )

 print(f"""\n{mode.title()}ed message:"""       )
 print(UpperCamelCase_       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	str:







 '''simple docstring'''
 return translate_message(UpperCamelCase_							,					UpperCamelCase_							,					"""encrypt"""       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_       )		->	str:







 '''simple docstring'''
 return translate_message(UpperCamelCase_							,					UpperCamelCase_							,					"""decrypt"""       )





def 			lowercase(	UpperCamelCase_							,					UpperCamelCase_							,					UpperCamelCase_       )		->	str:







 '''simple docstring'''
 UpperCamelCase			  =      []
 UpperCamelCase			  =      0
 UpperCamelCase			  =      key.upper()

 for symbol in message:
  UpperCamelCase			  =      LETTERS.find(symbol.upper()       )
  if num != -1:
   if mode == "encrypt":
    num += LETTERS.find(key[key_index]       )
   elif mode == "decrypt":
    num -= LETTERS.find(key[key_index]       )

   num %= len(UpperCamelCase_       )

   if symbol.isupper():
    translated.append(LETTERS[num]       )
   elif symbol.islower():
    translated.append(LETTERS[num].lower()       )

   key_index += 1
   if key_index == len(UpperCamelCase_       ):
    UpperCamelCase			  =      0
  else:
   translated.append(UpperCamelCase_       )
 return "".join(UpperCamelCase_       )


if __name__ == "__main__":
     main()
